Scan timing: clone 1.36s · analysis 0.08s · GitHub preflight 402ms
https://github.com/elopezguti02/llm-response-evaluator.git
· scanned 2026-05-25 23:54 UTC (1 week, 3 days ago)
· 10 languages
13 findings (3 legacy + 10 scanner) 70th percentile · Python · tiny (<2K LoC) Scanner says 85 (lower by 14)
Last scanned 1 week, 3 days ago · v2 · 8 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.
| Component | Sub-score | Weight | Contribution |
|---|---|---|---|
structure_score |
30.0 | 0.15 | 4.50 |
security_score |
100.0 | 0.25 | 25.00 |
testing_score |
70.0 | 0.20 | 14.00 |
documentation_score |
55.0 | 0.15 | 8.25 |
practices_score |
72.0 | 0.15 | 10.80 |
code_quality |
80.0 | 0.10 | 8.00 |
| Overall | 1.00 | 70.5 |
All 12 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.
| Label | Layer | Status | Path |
|---|---|---|---|
normalize_text |
software | healthy | evaluator.py:5 |
exact_match |
software | healthy | evaluator.py:15 |
keyword_overlap |
software | healthy | evaluator.py:23 |
length_score |
software | healthy | evaluator.py:41 |
evaluate_response |
software | healthy | evaluator.py:60 |
load_data |
software | healthy | evaluator.py:87 |
main |
software | healthy | evaluator.py:95 |
| Label | Layer | Status | Path |
|---|---|---|---|
evaluator.py |
software | healthy | evaluator.py |
sample_data.json |
software | healthy | sample_data.json |
README.md |
software | healthy | README.md |
requirements.txt |
software | healthy | requirements.txt |
| Label | Layer | Status | Path |
|---|---|---|---|
repobility-clone-drhtbq86 |
software | healthy | /tmp/repobility-clone-drhtbq86 |
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